Sunday, July 23, 2017

Weekly Review 23 July 2013

Below are some of the interesting links I Tweeted about recently.

  1. AI will help you do your job better, not replace you, according to Microsoft: https://www.technologyreview.com/s/608272/microsoft-thinks-ai-will-fill-your-blind-spots-not-take-over-your-job/
  2. Using machine learning to map groups of neurons to behaviours in D. melanagaster: https://www.theregister.co.uk/2017/07/14/ai_deciphers_fruit_fly_brain/
  3. How AI is going to increase social inequality: https://www.theverge.com/2017/7/13/15963710/robots-ai-inequality-social-mobility-study
  4. 150+ tutorials on Python and machine learning: https://unsupervisedmethods.com/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78
  5. The many ways UK industry is using AI: https://www.theregister.co.uk/2017/07/13/british_ai_smbs/
  6. The maths you need to know to master machine learning: http://dataconomy.com/2017/02/mathematics-machine-learning/
  7. A crash-course to machine learning with the Julia language: http://www.kdnuggets.com/2017/07/guerrilla-guide-machine-learning-julia.html
  8. Introduction to using Python for big data: http://dataconomy.com/2016/10/big-data-python/
  9. 3 educational pathways to get into machine learning: https://www.datanami.com/2017/07/10/machine-learning-education-3-paths-get-started/
  10. A brief description of Creative Adversarial Networks: http://www.kdnuggets.com/2017/07/creative-adversarial-network.html
  11. Paper on Creative Adversarial Networks: https://arxiv.org/abs/1706.07068
  12. Online AI soccer players: https://www.cnet.com/news/after-chess-people-are-now-building-ai-to-beat-us-at-soccer/
  13. It's not that the AI are biased, or even that the developers are biased, it's biased data sets that cause problems: https://www.axios.com/algorithms-discriminate-and-big-tech-doesnt-care-2458083425.html
  14. Cargo Cult Computer Science, or, what I think is wrong with AI research: https://computational-intelligence.blogspot.com/2017/07/cargo-cult-computer-science.html
  15. It looks like for the meantime AI will be assisting radiologists rather than replacing them: http://money.cnn.com/2017/07/14/technology/business/radiology-doctors-artificial-intelligence/index.html
  16. When Generative Adversarial Networks start making up their own language: https://www.fastcodesign.com/90132632/ai-is-inventing-its-own-perfect-languages-should-we-let-it
  17. Personally, I find people misusing AI far more frightening than AI itself: https://www.recode.net/2017/7/15/15976744/elon-musk-artificial-intelligence-regulations-ai
  18. Profile of neural network based speech recognition pioneer Tony Robinson: http://www.theregister.co.uk/2017/07/17/tony_robinson_speechmatics/ 
  19. A hierarchy of malicious algorithms: https://www.theguardian.com/technology/2017/jul/16/how-can-we-stop-algorithms-telling-lies 
  20. Why it is cheaper to buy your own hardware for machine learning than use the cloud: http://www.theregister.co.uk/2017/07/17/hardware_for_machine_learning/ 
  21. Determining if a business is ready to utilise AI - 3 questions to ask: https://www.datanami.com/2017/07/14/business-ready-ai-ask-3-questions/
  22. The limits of deep learning: https://venturebeat.com/2017/04/02/understanding-the-limits-of-deep-learning/ 
  23. Speeding-up convolutional neural networks on a Raspberry Pi: http://cv-tricks.com/artificial-intelligence/deep-learning/accelerating-convolutional-neural-networks-on-raspberry-pi/ 
  24. The top 10 programming languages for 2017: http://spectrum.ieee.org/computing/software/the-2017-top-programming-languages 
  25. AI industry hype-it takes more than a bunch of 'if' statements to qualify as an AI: http://www.theregister.co.uk/2017/07/18/it_vendors_mass_over_hype_artificial_intelligence_abilities/ 
  26. A tutorial on Keras TensorFlow: http://cv-tricks.com/tensorflow-tutorial/keras/
  27. Yandex open sources its machine learning library CatBoost: http://www.theregister.co.uk/2017/07/18/yandex_open_sources_machine_learning_library_catboost/ 
  28. Why AI needs to look to neuroscience more: https://www.theverge.com/2017/7/19/1599
  29. I think implants will be interfaces to external tech for a while yet-organ replacements will be bio-engineered: https://www.theverge.com/2017/7/21/15999544/biohacking-finger-magnet-human-augmentation-loss 
  30. Top ten programming languages for employment: http://spectrum.ieee.org/static/interactive-the-top-programming-languages-2017
  31. A lot of businesses call their products AI, but that doesn't make them so: https://www.axios.com/report-many-firms-are-ai-washing-claims-of-intelligent-products-2461919261.html
  32. Using neural networks to control physical rehabilitation equipment: http://spectrum.ieee.org/the-human-os/biomedical/devices/ai-can-help-patients-recover-ability-to-stand-and-walk
  33. Intel's $79 USB 3 deep learning stick: https://www.siliconrepublic.com/machines/intel-movidius-neural-compute-stick
  34. Yet another reason why you shouldn't review papers for Elsevier journals: https://forestsandco.wordpress.com/2017/07/18/thanks-for-your-invitation-to-review-but/